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GIAN Course on Advanced Pattern Recognition Techniques, March 26 - 30, 2018


Department of Computer Science & Engineering is organizing an International Short Course on Advanced Pattern Recognition Techniques under GIAN (Global Initiative of Academic Network), an initiative of MHRD, Govt. of India. The course is scheduled from March 26 - 30, 2018.

The resource persons for the course are: Prof. Slobodan Ribaric, Professor at the Department of Electronics, Microelectronics, Computer and Intelligent Systems, Faculty of Electrical Engineering and Computing, University of Zagreb, Croatia. S. Ribaric is a head of the Laboratory of Pattern Recognition and Biometric Security Systems (RUBOISS).

The proposed course presents Pattern recognition as the scientific discipline in the field of computer science whose goal is the classification of objects into a number of categories or classes. These objects can be signal waveforms (one-dimensional signals), images (two- or three-dimensional signals), abstract data or any type of measurements that need to be classified. The objects are referred using the generic term patterns. Pattern recognition is characterized as an information reduction from n-dimensional space (n >> 1), to 1- dimensional class membership space, information mapping or information labelling process. In abstract sense, the pattern recognition may be represented as a mapping of patterns from measurement space or world observation to class membership space.

Overview
Pattern recognition is the scientific discipline in the field of computer science whose goal is the classification of objects into a number of categories or classes. These objects can be signal waveforms (one-dimensional signals), images (two- or three-dimensional signals), abstract data or any type of measurements that need to be classified. The objects are referred using the generic term patterns. Pattern recognition is characterized as an information reduction from n-dimensional space (n >> 1), to 1- dimensional class membership space, information mapping or information labelling process. In abstract sense, the pattern recognition may be represented as a mapping of patterns from measurement space or world observation to class membership space.

Pattern recognition techniques are an important component of machine intelligence systems and are used for data preprocessing, feature extraction, as well as decision making or classification. Pattern recognition techniques overlap with areas such as: signal processing, artificial intelligence, neural modelling, optimization/estimation theory, and others. Pattern recognition applications include: image analysis, machine and computer vision, optical character recognition, computer-aided diagnosis, speech recognition and understanding, biometric-based identification (face, iris, fingerprint, speaker and gait recognition, etc.), seismic and radar signal analysis.

For details, Click to Download Brochure

Who Should Attend
The course is open to the teachers and research students from Computer, Electrical and Electronics Engineering Departments of Govt/ Govt. aided/ self-financed Engineering colleges, Engineers from Industries, Public sector undertakings and utilities. This 5 days intensive course is aimed at research in Pattern Recognition, Machine vision, Classification, Data Mining, Big Data Analytics, Digital Image Computing, including topics such as Image Processing and Computer Vision. It is intended that the course will complement and extend the material in existing technical courses that many students will encounter in their first year of postgraduate training. It will provide an opportunity to broaden awareness of knowledge and techniques in Pattern Recognition, Machine Learning, Vision, Biometrics, Security, and Image Computing, and to develop appropriate research skills.

Kindly mail the filled in Registration Form nnain.cse@mnit.ac.in. (This registration form is to be brought to MNIT at the time of registration along with DD/Cash for registration amount)

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Important Information for Applicants:

A limited number of paid accommodation is available in MNIT Guest House/Students Hostel and is available on "First Come First Served" basis.


Accommodation
MNIT guest house rooms (Rs 350 per night) will be allotted (can also be used on twin-sharing basis). Apart from this Student accommodation is also available at MNIT hostels (Rs 100 per night). These shall be available at "First Come First Served" basis. Applicants have to deposit complete amount expected for their stay with Guest House/Hostel on arrival. Those applicants who wish to stay outside campus may find many budget and better hotels in near vicinity of the campus within walking distance.

Boarding and Lodging Charges:
Guest House Room: Rs 350/= (Twin Share basis, if two participants agree)
Guest House Breakfast : approx. Rs 100/=
Guest House Lunch/Dinner : Rs 150/= - Rs 200/=
Hostel Room : Rs 100/=
Hostel Breakfast: Rs 30/=
Hostel Lunch/Dinner: Rs 45/=

Please note that prices may slightly vary. Campus also houses a canteen "Annapurna" that operates till 8:00 PM.

Registration Fee (exclusive of GIAN Portal Registration Fee)
Participants from abroad : US $250/-
Industry/ Research Organizations : Rs 10000/-
Faculty from other Academic Institutions : Rs 5000/-
Faculty (Sc/ST) from other Academic Institutions : Rs 2000/-
Research Students from Academic Institutions : Rs 2000/-

Applicants are also requested to email filled in registration form along with proof of payment for MNIT course registration.

Course Registration (MNIT) Fees
May be paid via Demand Draft in favour of "REGISTRAR (SPONSORED RESEARCH) MNIT Jaipur" payable at Jaipur.
OR
Fees can be paid through National Electronic Funds Transfer (NEFT)
Account No. : 676801700388
In name of "REGISTRAR (SPONSORED RESEARCH) MNIT Jaipur"
Bank : ICICI Bank, Branch MNIT Jaipur
IFSC Code: ICIC0006768.
Registration can also be deposited in cash.
Preferred mode of registration is Demand Draft.


Proof of Registration to be Sent:
Email filled in "Registration Form", scan copy of "Demand Draft/NEFT Transaction Receipt" and pdf file (downloaded from GIAN Portal Registration) to nnain.cse@mnit.ac.in. Please mention “GIAN (Advanced Pattern Recognition Techniques, 26 - 30 March 2018) in Subject of the email accompanied with attachments of (1) Registration Form, (2) GIAN registration and (3) Proof of Payment" and send it on or before December 18, 2016. Copy of caste certificate needs to be sent by SC/ST students.

Please note that NO TA/DA shall be paid to participants.

 
 


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